Intro to symbolic computation in Python including applications to function optimization, physics simulation and more. Includes notebooks on back-propagation, auto-diff and more.
No README available, please check again later.
Spiky networks
Various ipython notebooks
PID controller playground in Python
Non-dimensionalization of physical equations using sympy.
Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became th...
My testing, learning, minor projects, and interesting things.
IPython notebooks that illustrate the Pyomo optimization modeling software
Type-hinted, simplified interface to `sympy` for solving engineering, science and maths problems.
Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, ...
Symbolic computation using SymPy and various applications
IPython widgets, interactive plots, interactive machine learning
General statistics, mathematical programming, and numerical/scientific computing scripts and note...
Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package
The book "Annotated Algorithms in Python" and the nlib.py library